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Why this server?
This server provides a minimal template for creating AI assistant tools using the ModelContextProtocol, featuring a simple 'hello world' tool example and development setups for building custom MCP tools.
Why this server?
A tool for Model Context Protocol (MCP) that allows you to analyze web content and add it to your knowledge base, storing content as Markdown files for easy viewing with tools like Obsidian.
Why this server?
A Model Context Protocol server that enables semantic search and retrieval of documentation using a vector database (Qdrant). This server allows you to add documentation from URLs or local files and then search through them using natural language queries.
Why this server?
A Model Context Protocol server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context
Why this server?
Access any documentation indexed by RagRabbit Open Source AI site search
Why this server?
Enable app store analytics and competitor analysis through AppTweak API, with tools for keyword research, download estimates, and user review insights.
Why this server?
Uses yt-dlp to download subtitles from YouTube and connects it to claude.ai via Model Context Protocol.
Why this server?
Provides tools to interact with the Farcaster network, allowing AI models to fetch casts, search channels, and analyze content.
Why this server?
Provides web search capabilities using Google Custom Search API, enabling users to perform searches through a Model Context Protocol server.
Why this server?
Converts various file formats to Markdown using the MarkItDown utility and can be integrated with MCP clients for seamless document processing and conversion.